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Diverging trajectories of trust in healthcare and on-line information seeking: what’s next with LLMs

Diverging trajectories of trust in healthcare and on-line information seeking: what’s next with LLMs

February 1, 2026February 1, 2026
Weekly Roundup – January 31, 2026

Weekly Roundup – January 31, 2026

January 31, 2026February 1, 2026
Embedding clinical intelligence to help close care gaps

Embedding clinical intelligence to help close care gaps

January 31, 2026January 31, 2026
Impact of Mobilization Facilitated by Wearable Device Enhanced Patient Monitoring/Electrophysiology Pod–Based Feedback on Postoperative Complications Following Colorectal Cancer Surgery: Randomized Controlled Trial

Impact of Mobilization Facilitated by Wearable Device Enhanced Patient Monitoring/Electrophysiology Pod–Based Feedback on Postoperative Complications Following Colorectal Cancer Surgery: Randomized Controlled Trial

January 31, 2026January 31, 2026
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Category: AI

Demographic inaccuracies and biases in the depiction of patients by artificial intelligence text-to-image generators

Demographic inaccuracies and biases in the depiction of patients by artificial intelligence text-to-image generators

July 19, 2025July 19, 2025npj Digital Medicine

The wide usage of artificial intelligence (AI) text-to-image generators raises concerns about the role of AI in amplifying misconceptions in healthcare. This study therefore evaluated the demographic accuracy and potential biases in the depiction…

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Unlocking efficiency in real-world collaborative studies: a multi-site international study with one-shot lossless GLMM algorithm

Unlocking efficiency in real-world collaborative studies: a multi-site international study with one-shot lossless GLMM algorithm

July 19, 2025July 19, 2025npj Digital Medicine

The widespread adoption of real-world data has given rise to numerous healthcare-distributed research networks, but multi-site analyses still face administrative burdens and data privacy challenges. In response, we developed a Collaborative One-shot Lossless Algorithm…

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Systematic review and meta-analysis of deep learning for MSI-H in colorectal cancer whole slide images

Systematic review and meta-analysis of deep learning for MSI-H in colorectal cancer whole slide images

July 19, 2025July 19, 2025npj Digital Medicine

This meta-analysis evaluated diagnostic performance of deep learning (DL) algorithms using whole slide images (WSIs) for detecting microsatellite instability-high (MSI-H) in colorectal cancer (CRC). PubMed, Embase, and Web of Science were searched until January…

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Automating liver biopsy segmentation with a robust, open-source tool for pathology research: the HOTSPoT model

Automating liver biopsy segmentation with a robust, open-source tool for pathology research: the HOTSPoT model

July 19, 2025July 19, 2025npj Digital Medicine

Artificial intelligence applications in liver pathology remain limited, with existing tools either narrowly focused or lacking external validation. This study introduces HOTSPoT, an open-source, validated transformer-based model for automated segmentation of portal tracts in…

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Health IT’s New Chapter: IPOs Return, Resilient M&A, Valuations Rise in 1H 2025

Health IT’s New Chapter: IPOs Return, Resilient M&A, Valuations Rise in 1H 2025

July 18, 2025July 18, 2025HIT Consultant

Image Credit: HGP July 2025 Health IT Market Review

What You Should Know: 

– The first half of 2025 presented a volatile backdrop of policy shocks and economic uncertainty, yet the Health IT sector demonstrated remarkable resilience,…

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CareCloud Launches Integrated, AI-Driven Dermatology EHR for Seamless Care

CareCloud Launches Integrated, AI-Driven Dermatology EHR for Seamless Care

July 18, 2025July 18, 2025HIT Consultant

What You Should Know: 

– CareCloud, a leader in healthcare technology and generative AI solutions launches  its fully integrated, AI-driven dermatology Electronic Health Record (EHR) system. 

– The new solution is designed to streamline clinical workflows…

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Commercialization of medical artificial intelligence technologies: challenges and opportunities

Commercialization of medical artificial intelligence technologies: challenges and opportunities

July 18, 2025July 18, 2025npj Digital Medicine

Artificial intelligence (AI) is already having a significant impact on healthcare. For example, AI-guided imaging can improve the diagnosis/treatment of vascular diseases, which affect over 200 million people globally. Recently, Chiu and colleagues (2024)…

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A mixed methods formative evaluation of the United Kingdom National Health Service Artificial Intelligence Lab

A mixed methods formative evaluation of the United Kingdom National Health Service Artificial Intelligence Lab

July 18, 2025July 18, 2025npj Digital Medicine

Internationally, health systems are investing in Artificial Intelligence (AI) to improve safety, quality, and efficiency, yet many efforts remain localised and do not progress beyond early development stages. In 2019, National Health Service (NHS)…

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Philips Launches ECG AI Marketplace, Partnering with Anumana to Enhance Cardiac Care with AI-Powered Diagnostics

Philips Launches ECG AI Marketplace, Partnering with Anumana to Enhance Cardiac Care with AI-Powered Diagnostics

July 17, 2025July 18, 2025HIT Consultant

Image Credit: Philips Cardiac Workstation

What You Should Know: 

– Philips announced the launch of the Philips ECG AI Marketplace, a new platform that provides cardiac care teams with a central location to access multiple vendor…

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Beyond SaaS: How Agent as a Service is Transforming Healthcare Automation

Beyond SaaS: How Agent as a Service is Transforming Healthcare Automation

July 17, 2025July 18, 2025HIT Consultant

Rahul Sharma, CEO at HSBlox

Agent as a service (AaaS) goes beyond SaaS to offer greater automation, fewer errors, and to perform more tasks in real time while requiring less effort from humans. For specific…

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The physical space of the hospital will be gradually digitized until virtually every object and sensor becomes part of the so-called 'Internet of Things.' These innovations can broadly be categorized as either clinical or experiential, though some will be both. Clinical innovations will involve gathering ever more "signals" from the patient (infrared, sound, electrophysiology, pulse-oximeter, facial expression, etc.) to be sifted in real time through machine-learning algorithms that will help physicians refine their understanding of diagnosis and prognosis in ways we can only imagine today. Experiential innovations will allow health systems and their partners to take a page from Netflix, using the engagement opportunity of the acute care episode to stream digital content to patients and families through TVs, tablets and their own devices from home.

Daniel Durand

Recent Posts

  • Diverging trajectories of trust in healthcare and on-line information seeking: what’s next with LLMs

    Diverging trajectories of trust in healthcare and on-line information seeking: what’s next with LLMs

    February 1, 2026February 1, 2026Comments Off on Diverging trajectories of trust in healthcare and on-line information seeking: what’s next with LLMs
  • What impact has healow had on your organization and the patients’ experience?

    What impact has healow had on your organization and the patients’ experience?

    January 31, 2026February 1, 2026Comments Off on What impact has healow had on your organization and the patients’ experience?
  • Weekly Roundup – January 31, 2026

    Weekly Roundup – January 31, 2026

    January 31, 2026February 1, 2026Comments Off on Weekly Roundup – January 31, 2026
  • Embedding clinical intelligence to help close care gaps

    Embedding clinical intelligence to help close care gaps

    January 31, 2026January 31, 2026Comments Off on Embedding clinical intelligence to help close care gaps
  • Impact of Mobilization Facilitated by Wearable Device Enhanced Patient Monitoring/Electrophysiology Pod–Based Feedback on Postoperative Complications Following Colorectal Cancer Surgery: Randomized Controlled Trial

    Impact of Mobilization Facilitated by Wearable Device Enhanced Patient Monitoring/Electrophysiology Pod–Based Feedback on Postoperative Complications Following Colorectal Cancer Surgery: Randomized Controlled Trial

    January 31, 2026January 31, 2026Comments Off on Impact of Mobilization Facilitated by Wearable Device Enhanced Patient Monitoring/Electrophysiology Pod–Based Feedback on Postoperative Complications Following Colorectal Cancer Surgery: Randomized Controlled Trial
  • Meditech founder Neil Pappalardo dies at 83

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    January 31, 2026January 31, 2026Comments Off on Meditech founder Neil Pappalardo dies at 83
  • The Landscape of Mobile Apps for Healthy Eating: Case Study for a Systematic Review and Quality Assessment

    The Landscape of Mobile Apps for Healthy Eating: Case Study for a Systematic Review and Quality Assessment

    January 31, 2026January 31, 2026Comments Off on The Landscape of Mobile Apps for Healthy Eating: Case Study for a Systematic Review and Quality Assessment
  • Decagon raises $250M for AI agents, triples valuation to $4.5B

    Decagon raises $250M for AI agents, triples valuation to $4.5B

    January 30, 2026January 31, 2026Comments Off on Decagon raises $250M for AI agents, triples valuation to $4.5B
  • Successful AI adoption requires meaningful change management

    Successful AI adoption requires meaningful change management

    January 30, 2026January 31, 2026Comments Off on Successful AI adoption requires meaningful change management
  • The Safe AI in Medicaid Alliance can help providers hone their tactics

    The Safe AI in Medicaid Alliance can help providers hone their tactics

    January 30, 2026January 31, 2026Comments Off on The Safe AI in Medicaid Alliance can help providers hone their tactics

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